Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : S.Tharani, P.S.Periasamy

Volume 01 Issue o5  Year 2014  

ISSN no:  2348-3121

Page no: 158-161

Abstract—Intensive research has been done on optical character recognition (OCR) and a more number of articles have been published on this topic during the last few decades. Many commercial OCR systems are available in the market. But most of the systems work for Roman, Chinese, Japanese and Arabic characters. There is no sufficient number of works on Indian language especially Tamil language. Recognition rate of handwritten character is still limited due to presence of large variation of shape, size, scale and format in hand written characters. A complicated hand written character recognition system demands a better feature extraction technique that would take care of such variation of hand writing. This paper presents the application of wavelet processing in the domain of handwritten character recognition for Tamil and English characters. To attain high recognition rate, robust feature extractors and powerful classifiers that are invariant to degree of variability of human writing are needed. The proposed scheme consists of two stages: a feature extraction stage, which is based on Haar wavelet transform and a classification stage that uses neural network.

Keywords—Character recognition, Haar wavelet transform, Neural Network


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